GMKtec NucBox_EVO-X2
Geekbench ML Score
4766
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2025 08:26 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-X2 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1742
325.9 IPS |
|
|
Image Classification (F16)
|
100% |
1734
324.4 IPS |
|
|
Image Classification (I8)
|
99% |
4643
868.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
677
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
655
10.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2906
48.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
17323
21.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16964
20.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
63557
77.0 IPS |
|
|
Object Detection (F32)
|
100% |
1846
137.8 IPS |
|
|
Object Detection (F16)
|
100% |
1820
135.9 IPS |
|
|
Object Detection (I8)
|
62% |
1993
148.8 IPS |
|
|
Face Detection (F32)
|
100% |
4576
54.4 IPS |
|
|
Face Detection (F16)
|
100% |
4429
52.7 IPS |
|
|
Face Detection (I8)
|
89% |
6287
74.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
9873
76.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9916
76.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
22760
176.5 IPS |
|
|
Style Transfer (F32)
|
100% |
30485
40.1 IPS |
|
|
Style Transfer (F16)
|
100% |
29472
38.8 IPS |
|
|
Style Transfer (I8)
|
98% |
49382
65.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4161
148.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3806
135.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5242
187.2 IPS |
|
|
Text Classification (F32)
|
100% |
1644
2.36 KIPS |
|
|
Text Classification (F16)
|
100% |
1545
2.22 KIPS |
|
|
Text Classification (I8)
|
98% |
1112
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
2753
50.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2636
48.5 IPS |
|
|
Machine Translation (I8)
|
67% |
4591
84.5 IPS |
